Effects of processing speed training on cognitive functions and neural systems

Abstract Processing speed (PS) is an individual cognitive ability that measures the speed with which individuals execute cognitive tasks, particularly elementary cognitive tasks. PS has been proposed to be a key cognitive component, along with working memory, and is psychologically and clinically important. Various types of speed training affect performance of untrained cognitive measures. In this article, we review studies of PS training or training involving speeded tasks and describe the methodologies along with the psychological and neuroimaging findings related to PS training. There are various types of PS (speed) training tasks. Evidence indicates that PS training can enhance performance on untrained speeded tasks. However, the extent of transfer may vary depending on the methodology. A particular type of speed training seems to affect mental health in older adults. Neuroimaging studies of speed training have shown that the effects of speed training on neural mechanisms may vary depending on the training tasks. Adaptive procedures to modulate the difficulties of training tasks based on a subject’s performance by modulating the task speed can be applied to various cognitive tasks, and these procedures can perhaps be used to develop training protocols for enhancing various cognitive functions.

[1]  D. Bavelier,et al.  Exercising your brain: a review of human brain plasticity and training-induced learning. , 2008, Psychology and aging.

[2]  Gayla M. Cissell,et al.  The longitudinal impact of cognitive speed of processing training on driving mobility. , 2009, The Gerontologist.

[3]  H. Forssberg,et al.  Training of Working Memory in Children With ADHD , 2002 .

[4]  Peter B. Delahunt,et al.  Cognitive speed of processing training delays driving cessation. , 2009, The journals of gerontology. Series A, Biological sciences and medical sciences.

[5]  R. Benedict,et al.  Working memory and processing speed deficits in systemic lupus erythematosus as measured by the paced auditory serial addition test , 2004, Journal of the International Neuropsychological Society.

[6]  C Shawn Green,et al.  Increasing Speed of Processing With Action Video Games , 2009, Current directions in psychological science.

[7]  E. Northam,et al.  Neuropsychological profiles of children with type 1 diabetes 6 years after disease onset. , 2001, Diabetes care.

[8]  S. Rao,et al.  Information processing speed in patients with multiple sclerosis. , 1989, Journal of clinical and experimental neuropsychology.

[9]  W. Rosen,et al.  Neuropsychological Assessment, 3rd Edition , 1996 .

[10]  A. Kersten,et al.  Processing speed and adult age differences in activity memory. , 1999, Experimental Aging Research.

[11]  Y. Thomassen,et al.  Neuropsychological effects of low mercury vapor exposure in chloralkali workers. , 2001, Neurotoxicology.

[12]  Yasuyuki Taki,et al.  Failing to deactivate: The association between brain activity during a working memory task and creativity , 2011, NeuroImage.

[13]  K. McGrew,et al.  Uniqueness and General Factor Characteristics of the Woodcock-Johnson Tests of Cognitive Ability-Revised , 1995 .

[14]  George W Rebok,et al.  Effects of cognitive training interventions with older adults: a randomized controlled trial. , 2002, JAMA.

[15]  F. Tong,et al.  Training Improves Multitasking Performance by Increasing the Speed of Information Processing in Human Prefrontal Cortex , 2009, Neuron.

[16]  Yasuyuki Taki,et al.  Training of Working Memory Impacts Structural Connectivity , 2010, The Journal of Neuroscience.

[17]  F. Paas,et al.  Cognitive Architecture and Instructional Design , 1998 .

[18]  Yasuyuki Taki,et al.  Effects of Training of Processing Speed on Neural Systems , 2011, The Journal of Neuroscience.

[19]  D. Barch,et al.  Cognitive Function in Late Life Depression: Relationships to Depression Severity, Cerebrovascular Risk Factors and Processing Speed , 2006, Biological Psychiatry.

[20]  T. Salthouse,et al.  Processing speed as a mental capacity. , 1994, Acta psychologica.

[21]  Yasuyuki Taki,et al.  Cerebral Blood Flow during Rest Associates with General Intelligence and Creativity , 2011, PloS one.

[22]  G J Blauw,et al.  Increase in periventricular white matter hyperintensities parallels decline in mental processing speed in a non-demented elderly population , 2006, Journal of Neurology, Neurosurgery & Psychiatry.

[23]  Yasuyuki Taki,et al.  White matter structures associated with creativity: Evidence from diffusion tensor imaging , 2010, NeuroImage.

[24]  H. Harman,et al.  Kit of factor-referenced cognitive tests , 1976 .

[25]  Ashley R. Morgan,et al.  A cognitive training intervention improves modality-specific attention in a randomized controlled trial of healthy older adults , 2011, Neurobiology of Aging.

[26]  Yasuyuki Taki,et al.  Neural Correlates of the Difference between Working Memory Speed and Simple Sensorimotor Speed: An fMRI Study , 2012, PloS one.

[27]  J. E. Clark,et al.  The effects of videogame playing on the response selection processing of elderly adults. , 1987, Journal of gerontology.

[28]  David M. Smith,et al.  The ACTIVE cognitive training trial and health-related quality of life: protection that lasts for 5 years. , 2006, The journals of gerontology. Series A, Biological sciences and medical sciences.

[29]  Lesley A Ross,et al.  The Impact of Speed of Processing Training on Cognitive and Everyday Functions. , 2007, The journals of gerontology. Series B, Psychological sciences and social sciences.

[30]  Timo Erkinjuntti,et al.  Executive functions and speed of mental processing in elderly patients with frontal or nonfrontal ischemic stroke , 1999, European journal of neurology.

[31]  S Reinach,et al.  Simulated car crashes and crash predictors in drivers with Alzheimer disease. , 1997, Archives of neurology.

[32]  M. V. Vander Weg,et al.  Speed of processing training protects self-rated health in older adults: enduring effects observed in the multi-site ACTIVE randomized controlled trial , 2009, International Psychogeriatrics.

[33]  D. Buonomano,et al.  Cortical plasticity: from synapses to maps. , 1998, Annual review of neuroscience.

[34]  M. Grossman,et al.  Attentional resource and processing speed limitations during sentence processing in Parkinson’s disease , 2003, Brain and Language.

[35]  Yasuyuki Taki,et al.  Regional gray and white matter volume associated with Stroop interference: Evidence from voxel-based morphometry , 2012, NeuroImage.

[36]  Lesley A Ross,et al.  Cognitive Training Decreases Motor Vehicle Collision Involvement of Older Drivers , 2010, Journal of the American Geriatrics Society.

[37]  S. Hale,et al.  Relationships among processing speed, working memory, and fluid intelligence in children , 2000, Biological Psychology.

[38]  Steven L. Miller,et al.  Language Comprehension in Language-Learning Impaired Children Improved with Acoustically Modified Speech , 1996, Science.

[39]  Matthew Rizzo,et al.  The Accelerate Study: The Longitudinal Effect of Speed of Processing Training on Cognitive Performance of Older Adults , 2007 .

[40]  Yasuyuki Taki,et al.  Regional gray matter volume of dopaminergic system associate with creativity: Evidence from voxel-based morphometry , 2010, NeuroImage.

[41]  Ludo Verhoeven,et al.  Benefits of computer-presented speed training for poor readers , 2005, Annals of dyslexia.

[42]  N. Ikegami,et al.  Comprehensive Clinical Assessment in Community Setting: Applicability of the MDS‐HC , 1997, Journal of the American Geriatrics Society.

[43]  Gary N. McLean,et al.  Theories Supporting Transfer of Training. , 2001 .

[44]  T. Salthouse The processing-speed theory of adult age differences in cognition. , 1996, Psychological review.

[45]  Yasuyuki Taki,et al.  Effects of Working Memory Training on Cognitive Functions and Neural Systems , 2010, Reviews in the neurosciences.

[46]  J. DeLuca,et al.  Speed of information processing as a key deficit in multiple sclerosis: implications for rehabilitation , 1999, Journal of neurology, neurosurgery, and psychiatry.

[47]  A. Benton Contributions to Neuropsychological Assessment: A Clinical Manual , 1983 .

[48]  D. Andrewes,et al.  Predictors of change in the neuropsychological profiles of children with type 1 diabetes 2 years after disease onset. , 1999, Diabetes care.

[49]  J. Haines,et al.  Molecular and prospective phenotypic characterization of a pedigree with familial Alzheimer's disease and a missense mutation in codon 717 of the β‐amyloid precursor protein gene , 1992, Neurology.

[50]  M. Rizzo,et al.  Bilateral effects of unilateral visual cortex lesions in human. , 1996, Brain : a journal of neurology.

[51]  K. Ball,et al.  Visual attention problems as a predictor of vehicle crashes in older drivers. , 1993, Investigative ophthalmology & visual science.

[52]  Jack M. Gorman,et al.  Memory impairment and schizophrenia: the role of processing speed , 1998, Schizophrenia Research.

[53]  R. Poldrack,et al.  Relations between the Neural Bases of Dynamic Auditory Processing and Phonological Processing: Evidence from fMRI , 2001, Journal of Cognitive Neuroscience.

[54]  T. Klingberg Training and plasticity of working memory , 2010, Trends in Cognitive Sciences.

[55]  M. V. Vander Weg,et al.  The effect of speed-of-processing training on depressive symptoms in ACTIVE. , 2009, The journals of gerontology. Series A, Biological sciences and medical sciences.

[56]  T. Salthouse Mediation of Adult Age Differences in Cognition by Reductions in Working Memory and Speed of Processing , 1991 .

[57]  D L Roenker,et al.  The impact of speed of processing training on cognitive and everyday performance , 2005, Aging & mental health.

[58]  J N Morris,et al.  ACTIVE: a cognitive intervention trial to promote independence in older adults. , 2001, Controlled clinical trials.

[59]  V. Wadley,et al.  Development and evaluation of home-based speed-of-processing training for older adults. , 2006, Archives of physical medicine and rehabilitation.

[60]  C. Owsley,et al.  The useful field of view test: a new technique for evaluating age-related declines in visual function. , 1993, Journal of the American Optometric Association.

[61]  U. Lindenberger,et al.  Frontiers in Aging Neuroscience Aging Neuroscience Hundred Days of Cognitive Training Enhance Broad Cognitive Abilities in Adulthood: Findings from the Cogito Study Materials and Methods Participants and Procedure , 2022 .

[62]  Karlene K. Ball,et al.  Speed-of-Processing and Driving Simulator Training Result in Improved Driving Performance , 2003, Hum. Factors.

[63]  D. Gronwall Paced Auditory Serial-Addition Task: A Measure of Recovery from Concussion , 1977, Perceptual and motor skills.

[64]  D. Stuss,et al.  Staying on the job: the frontal lobes control individual performance variability. , 2003, Brain : a journal of neurology.

[65]  Fredric D Wolinsky,et al.  The effects of the ACTIVE cognitive training trial on clinically relevant declines in health-related quality of life. , 2006, The journals of gerontology. Series B, Psychological sciences and social sciences.

[66]  A. Mackey,et al.  Differential effects of reasoning and speed training in children. , 2011, Developmental science.

[67]  K. Ball,et al.  The ACTIVE cognitive training interventions and the onset of and recovery from suspected clinical depression. , 2009, The journals of gerontology. Series B, Psychological sciences and social sciences.

[68]  J. Raven,et al.  Manual for Raven's progressive matrices and vocabulary scales , 1962 .

[69]  S. Sato,et al.  Effects of visual acuity and visual motor speed and dexterity on cognitive test performance. , 1989, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[70]  A. Flaherty Frontotemporal and dopaminergic control of idea generation and creative drive , 2005, The Journal of comparative neurology.

[71]  K. Ball,et al.  Long-term effects of cognitive training on everyday functional outcomes in older adults. , 2006, JAMA.

[72]  Karlene K. Ball,et al.  Transfer of a Speed of Processing Intervention to Near and Far Cognitive Functions , 2002, Gerontology.

[73]  J. Grafman,et al.  Signs of cognitive change in HIV disease , 1991, Neurology.

[74]  Lars Bäckman,et al.  Transfer of Learning After Updating Training Mediated by the Striatum , 2008, Science.

[75]  D. Salat,et al.  Choice reaction time performance correlates with diffusion anisotropy in white matter pathways supporting visuospatial attention. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[76]  David M. Smith,et al.  The ACTIVE cognitive training trial and predicted medical expenditures , 2009, BMC health services research.

[77]  Daniel Y. Kimberg,et al.  Neural correlates of cognitive efficiency , 2006, NeuroImage.